Method and device for judging large-area power failure of street lamp system

Abstract

The invention discloses a method and a device for judging large-area power failure of a street lamp system. The method comprises the following steps: acquiring an unplanned light-off set M in a preset range; determining the street lamp with the highest aggregation degree by utilizing a Gaussian kernel function and the position information of each street lamp in the non-planned light-off set M; determining a target range belonging to a preset range based on the position information of the street lamp with the highest aggregation degree; acquiring a total street lamp set F in the target range; determining an intersection of the total street lamp set F and the non-planned turn-off set M as a non-planned turn-off set P in the target range; determining an intersection of the total street lamp set F and a planned turn-off set Y in a preset range as a planned turn-off set T in a target range; based on the total street lamp set F, the non-planned turn-off set P and the planned turn-off set T, calculating a non-planned turn-off rate q in the target range; and if q is greater than the preset threshold, determining that large-area power failure occurs in the preset range. According to the invention, large-area power failure of the street lamp system can be effectively identified in real time.

Description

Technical Field

[0001] The present invention relates to the technical field of street lamp monitoring, and more specifically, to a method and device for determining a large-area power outage in a street lamp system. Background Art

[0002] As an important part of urban infrastructure, street lighting systems play a vital role in nighttime lighting and traffic safety. Large-scale power outages may reduce visibility at night, increase the risk of traffic accidents, and pose a threat to the safety of life and property of citizens. By effectively identifying large-scale power outages in street lighting systems, emergency plans can be quickly activated and temporary traffic control measures can be taken to ensure smooth and safe urban traffic. In addition, large-scale power outages may be caused by a variety of reasons, such as equipment failure, man-made damage, or natural disasters. By effectively identifying large-scale power outages in street lighting systems, potential safety hazards can be promptly checked and handled to prevent the situation from further deteriorating and ensure the long-term stable operation of the street lighting system.

[0003] The monitoring capability of traditional street light control systems is often limited to the status feedback of a single light pole, that is, it can only identify and report which specific light pole has lost its lighting function. Whether a large-scale power outage has occurred often depends on the manual identification and judgment of the on-duty personnel, or waiting for complaints from citizens. This not only increases the cost and difficulty of manual monitoring, but may also lead to delayed discovery of large-scale power outages and lights, delaying emergency repairs. Therefore, traditional systems cannot accurately determine the scope and severity of power outages in a timely manner.

[0004] Chinese patent application number 202210182826.9, application date 2022.02.27, discloses a smart city street light control system and method. When a circuit failure occurs in a single street light, the location information of the street light failure is located and the located information is received through the GPS positioning system. The verification unit matches the location information of the single street light stored in advance with the location information of the failure, determines the specific street light under the specific digital reference information, and displays the location of the specific street light on the map through the GIS map, assisting the staff to quickly find the circuit fault point. This patent can only identify the power outage status of a single street light, and cannot identify in real time whether the street light system has a large-scale power outage. Summary of the invention

[0005] In view of this, the present invention provides a method and device for determining a large-scale power outage in a street lamp system, which can effectively identify a large-scale power outage in a street lamp system in real time.

[0006] In order to achieve the above object, the present invention adopts the following technical scheme:

[0007] In a first aspect, the present invention provides a method for determining a large-area power outage in a street lamp system, the method comprising:

[0008] Get the unplanned light-off set M within a preset range;

[0009] Based on the location information of each street lamp in the unplanned light-off set M, a location information set H is generated;

[0010] For any position information in the position information set H, a Gaussian kernel function is used to calculate the Gaussian kernel function value between the position information and other position information in the position information set H, and a kernel density value of the position information is determined based on all Gaussian kernel function values;

[0011] Generate a kernel density value set K based on the kernel density values ​​of all position information in the position information set H;

[0012] The street lamp corresponding to the maximum kernel density value kx in the kernel density value set K is determined as the street lamp mx with the highest concentration;

[0013] Determine the target range based on the location information of the street lamp mx with the highest concentration; wherein the target range belongs to the preset range;

[0014] Obtain identification information of all street lamps within the target range, and generate a total street lamp set F within the target range based on the identification information;

[0015] The intersection of the total street lamp set F and the unplanned light-off set M is determined as the unplanned light-off set P within the target range;

[0016] The intersection of the total street lamp set F and the planned light-off set Y within the preset range is determined as the planned light-off set T within the target range;

[0017] The unplanned light-off rate q within the target range is calculated according to the formula q = (p / (ft)) × 100%; where p is the number of street lamps in the unplanned light-off set P, f is the number of street lamps in the total street lamp set F, and t is the number of street lamps in the planned light-off set T;

[0018] If the unplanned light-off rate q is greater than a preset threshold, it is determined that a large-scale power outage occurs in a preset range.

[0019] The method provided by the present invention can quickly and accurately determine a large-scale power outage in the street lamp system, thereby generating an alarm and a work order, which are pushed to relevant staff so that the corresponding operation and maintenance personnel can quickly respond and repair, thereby ensuring the normal operation of urban lighting.

[0020] In a possible implementation, obtaining the unplanned light-off set M within a preset range includes:

[0021] Generate an actual light-off set L within a preset range based on the street light inspection records within the preset range;

[0022] The difference between the planned light-off set Y and the actual light-off set L is determined as the unplanned light-off set M.

[0023] In a possible implementation, determining the target range based on the location information of the street lamp mx with the highest concentration includes:

[0024] The center of the target range is set according to the location information of the street lamp mx with the highest concentration, and the radius of the target range is set according to the preset value.

[0025] In a possible implementation, the value range of the preset threshold is [50%, 80%].

[0026] In a second aspect, the present invention provides a device for determining a large-scale power outage in a street lamp system, the device comprising: a set acquisition module, a first set generation module, a Gaussian kernel calculation module, a second set generation module, a concentration determination module, a target range determination module, a third set generation module, a first set determination module, a second set determination module, a light-off rate calculation module and a determination module; wherein,

[0027] A set acquisition module, connected to the first set generation module, for acquiring an unplanned light-off set M within a preset range;

[0028] A first set generation module is connected to the set acquisition module and the Gaussian kernel calculation module respectively, and is used to generate a location information set H based on the location information of each street lamp in the unplanned light-off set M;

[0029] a Gaussian kernel calculation module, connected to the first set generation module and the second set generation module respectively, for calculating, for any position information in the position information set H, a Gaussian kernel function value between the position information and other position information in the position information set H using a Gaussian kernel function, and determining a kernel density value of the position information based on all Gaussian kernel function values;

[0030] A second set generation module is connected to the Gaussian kernel calculation module and the aggregation degree determination module respectively, and is used to generate a kernel density value set K based on the kernel density values ​​of all position information in the position information set H;

[0031] A concentration determination module, connected to the second set generation module and the target range determination module respectively, for determining the street lamp corresponding to the maximum kernel density value kx in the kernel density value set K as the street lamp mx with the highest concentration;

[0032] A target range determination module, connected to the concentration determination module and the third set generation module respectively, for determining a target range based on the position information of the street lamp mx with the highest concentration; wherein the target range belongs to a preset range;

[0033] A third set generation module is connected to the first set determination module, the second set determination module and the target range determination module respectively, and is used to obtain identification information of all street lamps within the target range, and generate a total street lamp set F within the target range based on the identification information;

[0034] The first set determination module is connected to the third set generation module and the light-off rate calculation module respectively, and is used to determine the intersection of the total street lamp set F and the unplanned light-off set M as the unplanned light-off set P within the target range;

[0035] The second set determination module is connected to the third set generation module and the light-off rate calculation module respectively, and is used to determine the intersection of the total street lamp set F and the planned light-off set Y within a preset range as the planned light-off set T within the target range;

[0036] The light-off rate calculation module is connected to the first set determination module, the second set determination module and the third set generation module respectively, and is used to calculate the unplanned light-off rate q within the target range according to the formula q=(p / (ft))×100%; wherein p is the number of street lamps in the unplanned light-off set P, f is the number of street lamps in the total street lamp set F, and t is the number of street lamps in the planned light-off set T;

[0037] The determination module is connected to the light-off rate calculation module and is used to determine that a large-scale power outage occurs in a preset range if the unplanned light-off rate q is greater than a preset threshold.

[0038] For the specific description of the second aspect and its various implementations in the present invention, reference can be made to the detailed description of the first aspect and its various implementations; and for the beneficial effects of the second aspect and its various implementations, reference can be made to the analysis of the beneficial effects of the first aspect and its various implementations, which will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments of the invention and, together with the description, serve to explain the principles of the invention.

[0040] Figure 1 This is a structural block diagram of a system for determining a large-area power outage of a street lamp system according to an embodiment of the present invention;

[0041] Figure 2 It is a flow chart of a method for determining a large-area power outage of a street lamp system according to an embodiment of the present invention;

[0042] Figure 3 The invention is a block diagram of the internal structure of a device for determining a large-area power outage in a street lamp system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0043] Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that the relative arrangement of components and steps, numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present invention unless otherwise specifically stated.

[0044] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses.

[0045] Technologies, methods, and equipment known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods, and equipment should be considered as part of the specification.

[0046] In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not limiting. Therefore, other examples of the exemplary embodiments may have different values.

[0047] It should be noted that like reference numerals and letters refer to similar items in the following figures, and therefore, once an item is defined in one figure, it need not be further discussed in subsequent figures.

[0048] The embodiment of the present invention provides a system for determining a large-scale power outage in a street lamp system. Figure 1 , which is a structural block diagram of a system for determining a large-scale power outage of a street lamp system provided by an embodiment of the present invention. Figure 1 As shown, the system for determining a large-scale power outage in a street lamp system provided by the present invention mainly includes: a plurality of single lamp controllers 101 and a data processing center 102 connected to the plurality of single lamp controllers 101, wherein each single lamp controller 101 corresponds to one street lamp.

[0049] The street lamp system staff formulates different lighting plans for different roads and areas within the preset range according to the lighting, energy saving and other needs within the preset range, that is, each street lamp on the preset road automatically performs the corresponding on or off operation in different time periods, and each street lamp will correspond to a light switch schedule, which records the corresponding on or off operation of the street lamp in each time period, and the single lamp controller 101 corresponding to the street lamp performs the on or off operation according to the light switch schedule. In the implementation, the data processing center 102 can send the switch schedule of each street lamp in the form of instructions to the single lamp controller 101 corresponding to each street lamp through the Internet of Things, and the single lamp controller 101 will control the switch of the street lamp according to the instructions.

[0050] It should be noted that the preset range can be divided according to administrative regions such as provinces, cities, districts, counties, and towns, and can also be customized, and this embodiment does not make specific limitations.

[0051] In addition, in addition to generating a timetable for switching lights on and off for each single lamp controller 101, the data processing center 102 will also generate multiple planned light-off sets Y within a preset range, and the planned light-off set Y refers to an array of identification information of all street lamps that are planned to be turned off within the preset range. It should be noted that the planned light-off set Y is generally for a certain sub-time period. For example, a one-day lighting plan can divide the one-day time period into 24 sub-time periods, and the duration of each sub-time period is 1 hour, so 24 planned light-off sets Y can be generated, and each planned light-off set Y contains the identification information of street lamps that are planned to be turned off within the preset range.

[0052] The single lamp controller 101 will also monitor the voltage, current, power and other electrical parameter data of the street lamp. These electrical parameter data can be uploaded to the data processing center 102 by the single lamp controller 101 according to a preset cycle, or after the data processing center 102 sends an upload request to the single lamp controller 101, the single lamp controller 101 responds to the request and reports. The data processing center 102 parses and stores these electrical parameter data to form a patrol record. By analyzing the electrical parameter data such as voltage, current, and power, it can be concluded that the corresponding street lamp is in an on or off state. The patrol record will record the switch state of each street lamp within a preset range. The data processing center 102 then summarizes the actual light-off set L at the current moment based on the switch state of the street lamps in the patrol record.

[0053] Next, the data processing center 102 will determine whether a large-scale power outage occurs in the street lamp system based on the actual light-off set L at the current moment and the planned light-off set Y corresponding to the sub-time period to which the current moment belongs.

[0054] In order to improve the real-time performance and accuracy of the entire determination method, the number of planned light-off sets Y can be set as much as possible, that is, the entire lighting cycle can be divided into as many time periods as possible. Preferably, the density of time period division can be proportional to the switching state change frequency of each street lamp in the lighting scheme, that is, the higher the switching state change frequency of all street lamps in a certain time period in the lighting cycle, the more sub-time periods the time period is divided into.

[0055] The embodiment of the present invention provides a method for determining a large-scale power outage in a street lamp system in a data processing center. Figure 2 , which is a flow chart of a method for determining a large-scale power outage in a street lamp system provided by an embodiment of the present invention. Figure 2 As shown, the method for determining a large-scale power outage of a street lamp system provided by the present invention mainly includes the following steps (steps S201 to S211):

[0056] Step S201, obtaining an unplanned light-off set M within a preset range;

[0057] Step S202, generating a location information set H based on the location information of each street lamp in the unplanned light-off set M;

[0058] Step S203, for any position information in the position information set H, using a Gaussian kernel function to calculate the Gaussian kernel function value between the position information and other position information in the position information set H, and determining the kernel density value of the position information based on all Gaussian kernel function values;

[0059] Step S204, generating a kernel density value set K based on the kernel density values ​​of all the location information in the location information set H;

[0060] Step S205, determining the street lamp corresponding to the maximum kernel density value kx in the kernel density value set K as the street lamp mx with the highest concentration;

[0061] Step S206, determining a target range based on the location information of the street lamp mx with the highest concentration; wherein the target range belongs to a preset range;

[0062] Step S207, obtaining identification information of all street lamps within the target range, and generating a total street lamp set F within the target range based on the identification information;

[0063] Step S208, determining the intersection of the total street lamp set F and the unplanned light-off set M as the unplanned light-off set P within the target range;

[0064] Step S209, determining the intersection of the total street lamp set F and the planned light-off set Y within the preset range as the planned light-off set T within the target range;

[0065] Step S210, calculating the unplanned light-off rate q within the target range according to the formula q=(p / (ft))×100%; where p is the number of street lamps in the unplanned light-off set P, f is the number of street lamps in the total street lamp set F, and t is the number of street lamps in the planned light-off set T;

[0066] Step S211: if the unplanned light-off rate q is greater than a preset threshold, it is determined that a large-scale power outage occurs in a preset range.

[0067] In step S201, the unplanned light-off set M refers to an array of street lamp identification information remaining after excluding street lamps that need to be turned off according to the lighting plan from all street lamps that are actually turned off at the current time and within the preset range. Therefore, the planned light-off set Y and the actual light-off set L in the first embodiment can be calculated by difference set, and the difference set, i.e., the street lamp identification information that cannot be matched, constitutes the unplanned light-off set M within the preset range.

[0068] In this embodiment, the location information refers to the longitude and latitude, which can be obtained through the GIS system. The Gaussian kernel function is defined as a monotonic function of the Euclidean distance between any point in space and a certain center point, and its formula is usually expressed as:

[0069]

[0070] Wherein, x and y represent the feature vectors of two position information respectively, ||xy|| represents the Euclidean distance between x and y, and σ is the bandwidth parameter of the Gaussian kernel function, for example, σ=0.02.

[0071] After all Gaussian kernel function values ​​between the position information and other position information are calculated, all Gaussian kernel function values ​​are summed up and then the average value is calculated to obtain the kernel density value of the position information.

[0072] After obtaining the kernel density values ​​for all the location information in the location information set H according to steps S203 and S204, the street lamp to which the location information corresponding to the largest kernel density value belongs is set as the street lamp mx with the highest concentration.

[0073] In some optional embodiments, in step S206, the center of the circle is set with the position information of the street lamp mx with the highest concentration, and the target range is drawn with a preset value as the radius.

[0074] In step S210, the unplanned light-off rate q is used to indicate the proportion of the number of unplanned lights-off in the target range to the total number of street lights excluding the number of planned lights-off. The higher the proportion, the higher the probability of a large-scale power outage in the target range, and vice versa.

[0075] In step S211, the preset threshold can be set according to the actual situation, and optionally, the value range is [50%, 80%], preferably, the value is 50%. If it is not greater than the preset threshold, the determination process is terminated and the next determination process is waited.

[0076] Furthermore, when it is determined that there is a large-scale power outage, an alarm and a maintenance work order can be generated and pushed to the corresponding staff.

[0077] This embodiment combines the planned light-off in the lighting plan, and automatically and accurately determines large-scale power outages by finding the street lamps with the highest concentration of unplanned light-offs, so as to timely discover and respond to large-scale power outages, help maintain the stable operation of the city's lighting system, improve citizens' sense of security and satisfaction, reduce reliance on manual monitoring, and reduce labor costs.

[0078] Based on the same inventive concept, the embodiment of the present invention also provides a device for determining a large-scale power outage in a street light system for implementing the method for determining a large-scale power outage in a street light system mentioned above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the method mentioned above, so the specific limitations in one or more embodiments of the device for determining a large-scale power outage in a street light system provided below can refer to the limitations of the method for determining a large-scale power outage in a street light system above, and will not be repeated here.

[0079] Figure 3 FIG. 3 shows a structural block diagram of a device 300 for determining a large-area power outage in a street lamp system. Figure 3 As shown, the street lamp system large-scale power outage determination device 300 includes: a set acquisition module 301, a first set generation module 302, a Gaussian kernel calculation module 303, a second set generation module 304, a concentration determination module 305, a target range determination module 306, a third set generation module 307, a first set determination module 308, a second set determination module 309, a light-off rate calculation module 310 and a determination module 311; wherein,

[0080] A set acquisition module 301, connected to the first set generation module 302, is used to acquire an unplanned light-off set M within a preset range;

[0081] The first set generation module 302 is connected to the set acquisition module 301 and the Gaussian kernel calculation module 303 respectively, and is used to generate a location information set H based on the location information of each street lamp in the unplanned light-off set M;

[0082] The Gaussian kernel calculation module 303 is connected to the first set generation module 302 and the second set generation module 304 respectively, and is used to calculate the Gaussian kernel function value between any position information in the position information set H and other position information in the position information set H by using the Gaussian kernel function, and determine the kernel density value of the position information based on all Gaussian kernel function values;

[0083] The second set generation module 304 is connected to the Gaussian kernel calculation module 303 and the aggregation degree determination module 305 respectively, and is used to generate a kernel density value set K based on the kernel density values ​​of all position information in the position information set H;

[0084] The aggregation degree determination module 305 is connected to the second set generation module 304 and the target range determination module 306 respectively, and is used to determine the street lamp corresponding to the maximum kernel density value kx in the kernel density value set K as the street lamp mx with the highest aggregation degree;

[0085] The target range determination module 306 is connected to the concentration determination module 305 and the third set generation module 307 respectively, and is used to determine the target range based on the position information of the street lamp mx with the highest concentration; wherein the target range belongs to the preset range;

[0086] The third set generation module 307 is connected to the first set determination module 308, the second set determination module 309 and the target range determination module 306 respectively, and is used to obtain identification information of all street lamps within the target range, and generate a total street lamp set F within the target range based on the identification information;

[0087] The first set determination module 308 is connected to the third set generation module 307 and the light-off rate calculation module 310 respectively, and is used to determine the intersection of the total street lamp set F and the unplanned light-off set M as the unplanned light-off set P within the target range;

[0088] The second set determination module 309 is connected to the third set generation module 307 and the light-off rate calculation module 310, respectively, and is used to determine the intersection of the total street lamp set F and the planned light-off set Y within a preset range as the planned light-off set T within the target range;

[0089] The light-off rate calculation module 310 is connected to the first set determination module 308, the second set determination module 309 and the third set generation module 307 respectively, and is used to calculate the unplanned light-off rate q within the target range according to the formula q=(p / (ft))×100%; wherein p is the number of street lamps in the unplanned light-off set P, f is the number of street lamps in the total street lamp set F, and t is the number of street lamps in the planned light-off set T;

[0090] The determination module 311 is connected to the light-off rate calculation module 310 and is used to determine that a large-scale power outage occurs in a preset range if the unplanned light-off rate q is greater than a preset threshold.

[0091] In some optional embodiments, the set acquisition module 301 is specifically used to generate an actual light-off set L within the preset range based on the street light patrol records within the preset range; and determine the difference between the planned light-off set Y and the actual light-off set L as the unplanned light-off set M.

[0092] In some optional embodiments, the target range determination module 306 is specifically configured to set the center of the target range according to the position information of the street lamp mx with the highest concentration, and set a preset value as the radius of the target range.

[0093] In some optional embodiments, the value range of the preset threshold in the determination module 311 is [50%, 80%].

[0094] It should be noted that the above-mentioned functional modules can be integrated together to form an independent unit, for example, integrated into a processing unit, or each module can exist physically separately, or two or more modules can be integrated to form an independent unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit. If the function is implemented in the form of a software functional module and sold or used as an independent product, it can be stored in a computer-readable storage medium.

[0095] In particular, according to an embodiment of the present invention, the process described in the above flowchart may be implemented as a computer software program.

[0096] The technical solution of the present invention, in essence, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, that is, the embodiment of the present invention also provides a computer-readable storage medium, which includes a number of computer programs or computer instructions, which are used to enable an electronic device (which can be a personal computer, server or network device, etc.) or a processor to perform all or part of the steps of the methods of various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory, random access memory, disk or optical disk, etc., various media that can store program codes.

[0097] An embodiment of the present invention includes a computer program product, which includes a computer program carried on a computer readable medium, the computer program including a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network, and / or installed from a removable medium. When the computer program is executed by a central processing unit (CPU), various functions defined in the present invention are performed.

[0098] Although some specific embodiments of the present invention have been described in detail by way of example, it will be appreciated by those skilled in the art that the above examples are for illustration only and are not intended to limit the scope of the present invention. It will be appreciated by those skilled in the art that the above embodiments may be modified without departing from the scope and spirit of the present invention. The scope of the present invention is defined by the appended claims.

Claims

1. A method for determining a large-area power outage in a street lamp system, characterized in that: include: Get the unplanned light-off set M within a preset range; Generate a location information set H based on the location information of each street lamp in the unplanned light-off set M; For any of the position information in the position information set H, using a Gaussian kernel function to calculate a Gaussian kernel function value between the position information and other position information in the position information set H, and determining a kernel density value of the position information based on all the Gaussian kernel function values; Generate a kernel density value set K based on the kernel density values ​​of all the position information in the position information set H; The street lamp corresponding to the maximum kernel density value kx in the kernel density value set K is determined as the street lamp mx with the highest concentration; Determine a target range based on the position information of the street lamp mx with the highest concentration; wherein the target range belongs to the preset range; Acquire identification information of all street lamps within the target range, and generate a total street lamp set F within the target range based on the identification information; Determine the intersection of the total street lamp set F and the unplanned light-off set M as the unplanned light-off set P within the target range; The intersection of the total street lamp set F and the planned light-off set Y within the preset range is determined as the planned light-off set T within the target range; The unplanned light-off rate q within the target range is calculated according to the formula q=(p / (ft))×100%, where p is the number of street lamps in the unplanned light-off set P, f is the number of street lamps in the total street lamp set F, and t is the number of street lamps in the planned light-off set T; If the unplanned light-off rate q is greater than a preset threshold, it is determined that a large-scale power outage occurs in the preset range.

2. The method for determining a large-area power outage in a street lamp system according to claim 1, characterized in that: The step of obtaining the unplanned light-off set M within a preset range includes: Generate an actual light-off set L within the preset range based on the street light inspection records within the preset range; The difference between the planned light-off set Y and the actual light-off set L is determined as the unplanned light-off set M.

3. The method for determining a large-area power outage in a street lamp system according to claim 1 or 2, characterized in that: The determining of the target range based on the position information of the street lamp mx with the highest concentration includes: The center of the target range is set according to the position information of the street lamp mx with the highest concentration, and the radius of the target range is set according to a preset value.

4. The method for determining a large-area power outage in a street lamp system according to claim 1 or 2, characterized in that: The value range of the preset threshold is [50%, 80%].

5. A device for determining a large-area power outage in a street lighting system, characterized in that: include: A set acquisition module, a first set generation module, a Gaussian kernel calculation module, a second set generation module, a concentration determination module, a target range determination module, a third set generation module, a first set determination module, a second set determination module, a light-off rate calculation module and a determination module; wherein, The set acquisition module is connected to the first set generation module and is used to acquire an unplanned light-off set M within a preset range; The first set generation module is connected to the set acquisition module and the Gaussian kernel calculation module respectively, and is used to generate a location information set H based on the location information of each street lamp in the unplanned light-off set M; The Gaussian kernel calculation module is connected to the first set generation module and the second set generation module respectively, and is used to calculate the Gaussian kernel function value between any one of the position information in the position information set H and other position information in the position information set H using the Gaussian kernel function, and determine the kernel density value of the position information based on all the Gaussian kernel function values; The second set generating module is connected to the Gaussian kernel calculating module and the aggregation determining module respectively, and is used to generate a kernel density value set K based on the kernel density values ​​of all the position information in the position information set H; The aggregation degree determination module is connected to the second set generation module and the target range determination module respectively, and is used to determine the street lamp corresponding to the maximum kernel density value kx in the kernel density value set K as the street lamp mx with the highest aggregation degree; The target range determination module is connected to the concentration determination module and the third set generation module respectively, and is used to determine the target range based on the position information of the street lamp mx with the highest concentration; wherein the target range belongs to the preset range; The third set generating module is connected to the first set determining module, the second set determining module and the target range determining module respectively, and is used to obtain identification information of all street lamps within the target range, and generate a total street lamp set F within the target range based on the identification information; The first set determination module is connected to the third set generation module and the light-off rate calculation module respectively, and is used to determine the intersection of the total street lamp set F and the unplanned light-off set M as the unplanned light-off set P within the target range; The second set determination module is connected to the third set generation module and the light-off rate calculation module respectively, and is used to determine the intersection of the total street lamp set F and the planned light-off set Y within the preset range as the planned light-off set T within the target range; The light-off rate calculation module is connected to the first set determination module, the second set determination module and the third set generation module respectively, and is used to calculate the unplanned light-off rate q within the target range according to the formula q=(p / (ft))×100%; wherein p is the number of street lamps in the unplanned light-off set P, f is the number of street lamps in the total street lamp set F, and t is the number of street lamps in the planned light-off set T; The determination module is connected to the light-off rate calculation module, and is used to determine that a large-scale power outage occurs in the preset range if the unplanned light-off rate q is greater than a preset threshold.

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